Single-Shot 10K Proteome Approach: Over 10,000 Protein Identifications by Data-Independent Acquisition-Based Single-Shot Proteomics with Ion Mobility Spectrometry.
Single-Shot 10K Proteome Approach: Over 10,000 Protein Identifications by Data-Independent Acquisition-Based Single-Shot Proteomics with Ion Mobility Spectrometry.
复制标题
单次10K蛋白质组方法：通过基于数据非依赖采集且结合离子迁移谱的单次蛋白质组学技术实现超过10,000种蛋白质的鉴定
DOI：
10.1021/acs.jproteome.2c00023
复制
发表时间：
2022-06-03
影响因子：
4.4
通讯作者：
Ohara, Osamu
中科院分区：
文献类型：
--
作者：
Kawashima, Yusuke;Nagai, Hirotaka;Konno, Ryo;Ishikawa, Masaki;Nakajima, Daisuke;Sato, Hironori;Nakamura, Ren;Furuyashiki, Tomoyuki;Ohara, Osamu
质谱（MS）和分析技术的发展导致了对在单次测量中具有高蛋白质组覆盖率的蛋白质组分析的需求。重点已放在数据独立采集（DIA）-MS和离子迁移谱作为技术的深度蛋白质组分析。我们的目标是通过优化DIA-MS中的高场非对称波形离子迁移谱参数来扩大单次测量的蛋白质组覆盖范围。利用我们建立的蛋白质组分析系统，在120 min的MS测量时间内从HEK 293细胞中鉴定了超过10，000个蛋白质组。此外，我们将我们的方法应用于小鼠粪便中宿主蛋白的分析，并在用于研究抑郁症的重复社交失败压力（R-SDS）小鼠模型中检测到多达892个宿主蛋白质组（771个上调/121个下调蛋白质）。有趣的是，R-SDS升高的285个蛋白质与精神障碍有关。通过深层蛋白质组分析的粪便宿主蛋白质谱可以帮助我们非侵入性地了解精神疾病的病理。因此，我们的方法将有助于生物和医学研究中蛋白质表达水平的深入比较，因为它能够在单次测量中分析高度蛋白质组覆盖率。
The evolution of mass spectrometry (MS) and analytical techniques has led to the demand for proteome analysis with high proteome coverage in single-shot measurements. Focus has been placed on data-independent acquisition (DIA)-MS and ion mobility spectrometry as techniques for deep proteome analysis. We aimed to expand the proteome coverage by single-shot measurements using optimizing high-field asymmetric waveform ion mobility spectrometry parameters in DIA-MS. With our established proteome analysis system, more than 10,000 protein groups were identified from HEK293 cell digests within 120 min of MS measurement time. Additionally, we applied our approach to the analysis of host proteins in mouse feces and detected as many as 892 host protein groups (771 upregulated/121 downregulated proteins) in a mouse model of repeated social defeat stress (R-SDS) used in studying depression. Interestingly, 285 proteins elevated by R-SDS were related to mental disorders. The fecal host protein profiling by deep proteome analysis may help us understand mental illness pathologies noninvasively. Thus, our approach will be helpful for an in-depth comparison of protein expression levels for biological and medical research because it enables the analysis of highly proteome coverage in a single-shot measurement.
登录
查看更多内容
影响因子：
25
作者：
Menard C;Pfau ML;Hodes GE;Kana V;Wang VX;Bouchard S;Takahashi A;Flanigan ME;Aleyasin H;LeClair KB;Janssen WG;Labonté B;Parise EM;Lorsch ZS;Golden SA;Heshmati M;Tamminga C;Turecki G;Campbell M;Fayad ZA;Tang CY;Merad M;Russo SJ
通讯作者：
Russo SJ
影响因子：
7
作者：
Bekker-Jensen, Dorte B.;Martinez-Val, Ana;Olsen, Jesper, V
通讯作者：
Olsen, Jesper, V
影响因子：
2.9
作者：
Muntel, Jan;Gandhi, Tejas;Reiter, Lukas
通讯作者：
Reiter, Lukas
影响因子：
3.1
作者：
Knudsen JK;Bundgaard-Nielsen C;Hjerrild S;Nielsen RE;Leutscher P;Sørensen S
通讯作者：
Sørensen S
影响因子：
4.4
作者：
Liu D;Yang S;Kavdia K;Sifford JM;Wu Z;Xie B;Wang Z;Pagala VR;Wang H;Yu K;Dey KK;High AA;Serrano GE;Beach TG;Peng J
通讯作者：
Peng J